Workshop on artificial intelligence models and methods for biocatalysis and synthetic biology

The organization of this workshop takes place in the context of a significant convergence of AI methods in the fields of chemistry and biology over the past few years. Techniques as varied as active learning, reinforcement learning, informed machine learning, physics-informed neural networks, reservoir computing, generative models, and large language models have gained prominence in both domains.

The primary objective of this workshop is to facilitate knowledge exchange between communities that typically operate independently, fostering a collaborative environment to explore shared experiences, differences, and current challenges through the lens of AI techniques.

Program Highlights: Three main lectures will cover some of the latest developments in chemistry and biology:

• Chemical Reservoir Computing by Professor Wilhelm Huck (Radboud University, NL);
• Generative Models for Metabolic Networks by Prof. Ljubisa Miskovic (EPFL, CH);
• Retro-Biosynthesis by Dr. Esther Heid (MIT, USA, and TU Vienna, AT).

Interested in presenting your work related to AI applications in biocatalysis and synthetic biology (presentation/poster)? Contributions, including those from early-career researchers and PhD students, are welcome.

To register for the event or propose your participation, click below: